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Architecting Gen AI-Powered Microservices: The Unwritten Playbook

Plugging Gen AI into microservicesisn't just a task. It's an adventure in tech wizardry. Get cozy with messaging queues, prompt caching, and the relentless art of watching in production... read more  

Architecting Gen AI-Powered Microservices: The Unwritten Playbook
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Human coders are still better than LLMs

Antirez recounted a story of working on Vector Sets for Redis, detailing a bug he encountered and his process of finding a solution through a creative approach involving LLM. He explored different methods to ensure link reciprocity and proposed a hashing solution that offered a balance between effic.. read more  

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Text-to-Malware: How Cybercriminals Weaponize Fake AI-Themed Websites

UNC6032swindled millions by spinning a tangled web of fake "AI video generator" sites. They slippedPython-based infostealersright under our noses, using social media ads as their Trojan horses.Meta’s ad transparency pulled back the curtain on over 30 malicious sites, yet the sneakySTARKVEIL malwarec.. read more  

Text-to-Malware: How Cybercriminals Weaponize Fake AI-Themed Websites
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Peer Programming with LLMs, For Senior+ Engineers

LLMs—the mysterious, fickle companions of coding.Senior engineerswade through it, extracting gold with tricks like "Second opinion" and "Throwaway debugging." Seth Godin rings the alarm: these clever machines aren't as clever as they look. First askClaude, then call in a human... read more  

Peer Programming with LLMs, For Senior+ Engineers
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It’s not your imagination: AI is speeding up the pace of change

AI takes a victory lap:Mary Meeker revealsChatGPTsnagged 800 million users in a brisk 17 months. Meanwhile, the bean counters cheer as inference costs nosedived 99% in just two years. Profitability? That's still a cliffhanger... read more  

It’s not your imagination: AI is speeding up the pace of change
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Want a humanoid, open source robot for just $3,000? Hugging Face is on it.

Hugging Facejust pulled the curtain back onHopeJR, a humanoid robot that swings 66 degrees of freedom—at just$3,000. This price tag shames the $16,000 slapped on Unitree's G1. Together with The Robot Studio, they've created this robot with a dash of Bender's charisma. The kicker? It's fully open-sou.. read more  

Want a humanoid, open source robot for just $3,000? Hugging Face is on it.
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LLMOps: DevOps Strategies for Deploying Large Language Models in Production

LLMOpsshakes up the MLOps scene with tailor-made Kubernetes magic. It wrestlesGPU scheduling, caching, and autoscalingfor those behemothLLM deployments. Keep an eye out for serverless endpoints and model meshes—smooth scaling and a wallet-friendly operation... read more  

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Perplexity offers training wheels for building AI agents

Perplexity Labsis your quick-draw tool for crafting apps and digital delights, powered by LLMs likeGPT-4 Omni. It’s a star where others stumble: fast, project-driven tasks. Expect example-heavy insights and real-world project demos. While competitors dawdle, it delivers. Need deep web browsing, code.. read more  

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Why GCP Load Balancers Struggle with Stateful LLM Traffic — and How to Fix It

Deploying LLMs onGCP Load Balancersis like fitting a square peg in a round hole. These models aren't stateless, so skip HTTP, go straight forTCP Load Balancing. Toss in Redis to keep those sessions on a leash. Tweak load balancer settings to dodge mid-stream socket calamities. Embrace the power ofGK.. read more  

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From Zero to Hero: Build your first voice agent with Voice Live API

TheVoice Live APIditches the clutter of juggling models. One API call, and voilà—real-time,natural-sounding bots. It’s harnessed over WebSocket, keeping everything sharp and efficient... read more  

From Zero to Hero: Build your first voice agent with Voice Live API
Kueue is a Kubernetes-native job queueing and workload management system designed for large-scale, mixed compute environments such as AI/ML training, batch workloads, and HPC workflows. Instead of scheduling individual Pods, Kueue operates at the job level, deciding when a job should run based on resource quotas, fair-sharing policies, cluster availability, and workload priorities.

Kueue integrates tightly with Kubernetes, working alongside the default scheduler rather than replacing it. It provides features such as all-or-nothing (gang) admission, workload preemption, quota-based sharing across teams or tenants, and support for advanced frameworks like JobSet and Ray. Its goal is to help Kubernetes clusters run efficiently under heavy load while ensuring that critical, latency-sensitive, or large training jobs receive the resources they need without starving lower-priority workloads.